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https://issues.apache.org/jira/browse/HADOOP-18291?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17743361#comment-17743361
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ASF GitHub Bot commented on HADOOP-18291:
-----------------------------------------

hadoop-yetus commented on PR #5843:
URL: https://github.com/apache/hadoop/pull/5843#issuecomment-1636716817

   :confetti_ball: **+1 overall**
   
   
   
   
   
   
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   | +1 :green_heart: |  unit  |   2m 41s |  |  hadoop-aws in the patch passed. 
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   |  |   | 135m 30s |  |  |
   
   
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   | GITHUB PR | https://github.com/apache/hadoop/pull/5843 |
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> S3A prefetch - Implement LRU cache for SingleFilePerBlockCache
> --------------------------------------------------------------
>
>                 Key: HADOOP-18291
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18291
>             Project: Hadoop Common
>          Issue Type: Sub-task
>    Affects Versions: 3.4.0
>            Reporter: Ahmar Suhail
>            Assignee: Viraj Jasani
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 3.3.9
>
>
> Currently there is no limit on the size of disk cache. This means we could 
> have a large number of files on files, especially for access patterns that 
> are very random and do not always read the block fully. 
>  
> eg:
> in.seek(5);
> in.read(); 
> in.seek(blockSize + 10) // block 0 gets saved to disk as it's not fully read
> in.read();
> in.seek(2 * blockSize + 10) // block 1 gets saved to disk
> .. and so on
>  
> The in memory cache is bounded, and by default has a limit of 72MB (9 
> blocks). When a block is fully read, and a seek is issued it's released 
> [here|https://github.com/apache/hadoop/blob/feature-HADOOP-18028-s3a-prefetch/hadoop-tools/hadoop-aws/src/main/java/org/apache/hadoop/fs/s3a/read/S3CachingInputStream.java#L109].
>  We can also delete the on disk file for the block here if it exists. 
>  
> Also maybe add an upper limit on disk space, and delete the file which stores 
> data of the block furthest from the current block (similar to the in memory 
> cache) when this limit is reached. 



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